Investigation into the hierarchical nature of TQM variables using structural modelling
Article
Article Title | Investigation into the hierarchical nature of TQM variables using structural modelling |
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ERA Journal ID | 19355 |
Article Category | Article |
Authors | Veltmeyer, Johan and Mohamed, Sherif |
Journal Title | International Journal of Quality and Reliability Management |
Journal Citation | 34 (4), pp. 462-477 |
Number of Pages | 16 |
Year | 2017 |
Publisher | Emerald |
Place of Publication | United Kingdom |
ISSN | 0265-671X |
1758-6682 | |
Digital Object Identifier (DOI) | https://doi.org/10.1108/IJQRM-04-2015-0052 |
Web Address (URL) | https://www.emerald.com/insight/content/doi/10.1108/IJQRM-04-2015-0052/full/html |
Abstract | Purpose Design/methodology/approach Findings Originality/value |
Keywords | Total quality management; Interpretive structural modelling; TQM drivers; Statistical process control; TQM enablers; Hierarchical nature |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 400508. Infrastructure engineering and asset management |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Griffith University |
https://research.usq.edu.au/item/w13y6/investigation-into-the-hierarchical-nature-of-tqm-variables-using-structural-modelling
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